Guang-Ze Yang
Researcher in AI Robotics & Control
Also Known As
Grayson Young
楊 広沢 (よう こうたく)
杨 广泽 (Yang Guang-Ze)
About Me
I build intelligent systems for robotics. Through my Notebook, I share knowledge and insights on robotics, control theory, programming, and personal growth.
Current Focus
- Research: VLA, VLM, RL and Simulation for robotics
- Status: Full-time job in autonomous research
- Building: Robotics & Control Theory knowledge base
- Learning: Applied AI/RL development.
Research Interests
- AI Robotics
Designing intelligent robotic systems that can perceive, learn, and adapt to complex environments using AI techniques. - Optimal & Robust Control
Applying advanced control theory to ensure system performance and stability under disturbances and model uncertainties. - Distributed Multi-Robot Control
Designing decentralized algorithms that enable robot teams to perform complex tasks collaboratively.
Education
Master of Engineering
Mechanical Systems Engineering
Ibaraki University
April 2024 – March 2026Bachelor of Engineering
Mechanical Systems Engineering
Ibaraki University
April 2020 – March 2024Publications
Safety-Critical Formation Tracking Control of Multi-Robot Systems via CLF-CBF-QP
2025 International Conference on Advanced Mechatronic Systems (ICAMechS)
This paper proposes a novel Hierarchical Fallback CLF-CBF-QP framework for safety-critical formation tracking. The approach employs CLF for tracking and High-Order CBFs for safety, featuring a three-stage fallback strategy that resolves QP infeasibility by prioritizing safety over performance while maintaining computational efficiency.
Distributed Robust Time-Varying Formation Control of Multi-Agent Systems Under Disturbances
2024 SICE Festival with Annual Conference (SICE FES)
This work considers the problem of time-varying formation tracking control of second-order multi-agent systems under disturbances. A distributed robust time-varying formation control law is proposed including distributed finite-time estimators of the leader states and sliding mode time-varying formation controllers.
Languages
Chinese
English
Japanese
Personal Blog
Beyond my technical work, I maintain a personal blog where I share life experiences, reflections, and thoughts on topics outside of my professional research. These writings explore personal growth, daily observations, and the journey of learning and living.
Let's Connect!
I'm always open to discussing research opportunities, collaboration, or connecting with fellow enthusiasts in robotics and control systems.